Triple
T37949448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbott Laboratories |
E946701
|
entity |
| Predicate | hasNamesakeFoundation |
P167306
|
FINISHED |
| Object | Clara Abbott Foundation |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Clara Abbott Foundation | Statement: [Abbott Laboratories, hasNamesakeFoundation, Clara Abbott Foundation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamesakeFoundation Context triple: [Abbott Laboratories, hasNamesakeFoundation, Clara Abbott Foundation]
-
A.
hasPhilanthropicOrganizationNamedAfter
chosen
Indicates that an entity has a philanthropic organization that is named after it.
-
B.
hasFamousNamesake
Indicates that an entity shares its name with another well-known or notable entity.
-
C.
hasNamesakeFamilyName
Indicates that two entities share the same family name, with one serving as the namesake for the other's family name.
-
D.
foundationsNamedAfter
Indicates that a foundation bears the name of a particular person, organization, place, or concept in whose honor or reference it is established.
-
E.
hasNamesakeNotability
Indicates that one entity is notable or recognized specifically because it shares the same name as another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffb1f0b03c81909ddb81f07ce74e88 |
completed | May 9, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ffb1662b2481908582e0612744f4c5 |
completed | May 9, 2026, 10:12 p.m. |
Created at: May 3, 2026, 4:20 p.m.